I have created a report with Report Builder 3.0 using columns groups.
The columns retrieve a datetime field. I would like to calculate the date difference between two columns.
For each individual the report should display 1 row and 2 columns. One of the columns can have null values. In this case, no calculation needs to be performed.
I cannot perform any calculation at the dataset level because I am using a stored procedure that I cannot modify.
I have tried to perform a calculation but the values are not correct. Moreover, the results are also changing if the Sort values change.
Random sort
Basically, I need to calculate the different between the 2 columns at the row level.
Any ideas?
Desired Output
Related
My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.
I have an Oracle 6i report with Two Complex Queries (Q1 and Q2) connected by Data Link. The report was developed by some other developer who is not available now. Multiple columns are being displayed in report.
Q1 has a column Total_Issuance and Q2 has a column Total_Consumption. I have to display their difference on report. I am using a formula column to get the difference and then binding a display field to this formula column to show on report.
But since the formula column is outside both the queries, I am getting following errors.
REP-1517: Coloumn 'CF_1' references column 'Total_Issuance', which has incompatible frequency.
REP-1517: Coloumn 'CF_1' references column 'Total_Consumption', which has incompatible frequency.
Just like the formula column is outside both queries, create two additional summary columns (outside of both queries):
cs_tot_iss, which will sum total_issuance
cs_tot_con, which will sum total_consumption
Now modify formula column so that its source are newly created summary columns, e.g. let it
return :cs_tot_iss + :cs_tot_con;
As of paper layout: you don't have to display cs_tot_iss nor cs_tot_con (as you already have those values via total_issuance and total_consumption), just add formula column.
Create a new calculated field to the query that is the detail query (I asume it's Q2).
In this calculated field you can simply use:
return :Total_Issuance - :Total_Consumption;
to calculate the difference.
There are two tablix in ssrs report. I am using the same dataset for both tablix. First tablix which shows JOB details and $amnt BY Date (5 month worth of data) and second tablix shows records Grouped by Job and total of $amonts from tablix1.
Tablix 2 shows correct $Sum but for some records there are duplicate rows- if Tablix#1 has more than 1 $amnt.
Example Tablix1: ProjectABC - 1/1/2019 =$2 ; 1/5/2019=$5
ProjectHTG -1/1/2019 =$3
Exampl Tablix2: ProjectABC -$7
ProjectABC -$7
ProjectHTG -$3
how do i modify my expression "=sum(Fields!units.Value,"project2")"
to print "ProjectABC -$7" as one line?
Assuming that your field name if JOB for the project, you would add the field along with the dash to your current expression.
You should NOT group by amount if you want to SUM the amount. You are getting a separate line for each different amount for the same JOB. Only JOBs with the same amounts will be SUMmed as one.
=Fields!JOB.Value & " - " & sum(Fields!units.Value)
A few other issues:
Why are you using the Dataset name in your SUM? It sounds like you have a simple table that groups by JOB and Amount. The table is associated to the Dataset that you want to use. You should only use the dataset name in a table when you're referring to a different dataset than the table is using.
Why do you need two datasets if they have the same info? The second table can do the grouping and summing (and already is) from the same dataset as the first table.
I have two tables in PowerBI. One called 'Fact_WorstInstance' contains rows of (Index,Instance). For example:
1,2
2,1
3,2
One called 'Fact_AllInstances' contains rows of (Index,Instance,Value). For example:
1,1,'Red'
1,2,'Green'
2,1,'Amber'
2,2,'Red'
2,3,'Brown'
3,1,'Green'
3,2,'Blue'
The first table is essentially a pointer to the worst entry in the second table for the given index (as categorised by some external system).
There is a slicer on which Indexes are visible to the user.
What I want to do is find the worst instance value for the highest visible Index in the 'Fact_WorstInstance' table, and then get all the Index and Value rows from the 'Fact_AllInstances' table for that Instance.
For example, if the slicer isnt filtering then (3,2) should be the active row from from the 'Fact_WorstInstance' table and this should be used to get Instance 2 from the 'Fact_AllInstances' table
1,2,'Green'
2,2,'Red'
3,2,'Blue'
from the 'Fact_AllInstances' table.
I tried to do this in many different ways, by creating a measure on the 'Fact_WorstInstance' which gives the highest visible row. And then use this measure to create a calculated column on the 'Fact_AllInstances', with 1 for worst and 0 for not worst. And then use this calculated column as a filter in PowerBI.
The measure itself gives the expected value. The problem I have is when the measure is used to create the calculated column, I cannot find a way to stop the Index being filtered based on the row of calculated column - and therefore the measure outcome changes for each row.
My measure:
Worst Entry = CALCULATE(FIRSTNONBLANK(Fact_WorstInstance[Instance],1),filter(ALLSELECTED(Fact_WorstInstance),Fact_WorstInstance[Index]=MAX(Fact_WorstInstance[Index])))
My column:
WorstColumn = if(Fact_AllInstances[Instance]=[Worst Entry],1,0)
So instead of getting the output above, I get
1,2,'Green'
2,1,'Amber' --> because for Index 2, the measure gives index 1 as worst
3,2,'Blue'
This is a possible solution you might want to implement.
First of all, calculated columns are not affected by slicers/page filters, you will need to create a measure for that, so the way your are appraching the problem won't work.
Create an additional calculated table that holds unique instances values. In Power BI, Modeling tab there is a icon for creating a New Table, where you can use an expression to produce the table.
Use this expression:
IsntancesCalcTable = VALUES(Fact_WorstInstance[Instance])
Now you have a table called InstancesCalcTable in your model.
Drag the Instance column in the InstancesCalcTable and drop it in the Instance column of the Fact_WorstInstance, this will create a relationship between InstancesCalcTable and Fact_WorstInstance via Instance. A line between both tables will be drawn in the Relationships view, double click that line and you will see the Edit Relationship window.
Make sure it looks like this:
Then do the same for creating the relationship between InstancesCalcTable and Fact_AllInstances.
You will end with a model like this:
Then you can use Index column in the Fact_WorstInstance table, in a slicer and it will filter the Fact_AllInstances table to get only the instances selected.
However if you don't have any filter all rows in Fact_AllInstances will be shown.
I have added a table in the webi designer. This is made up of 2 columns, "category" and "measure" and there are 3 rows of data. I wanted to add a column that will hold the row count, so I added a third column titled, row count, and added the formula
=(RowIndex())
This appeared to work as it now populated with 1,2,3 in that order. But if I sort the table by measure ascending, this sort works but my row count is now 2,3,1 in that order. I think this is to do with the formula =(RowIndex()) pulls back the "row count" from the intial sql order and then does not update.
Is there a way to update this so row count is dynamic and recalculates as different sorts are added. So it always stays in order i.e 1,2,3
You are correct that RowIndex() represents the row number from the SQL result set (the "microcube"). You want to use RunningCount() instead.
RunningCount() requires a dimension or measure object as a parameter, as it counts non-null values. But you can pass a static value to count all rows: =RunningCount(1)